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公式動画&関連する動画 [How to Prepare a Dataset for Natural Language Results in Oracle Fusion Data Platform]
Improve natural language results in Oracle FDI with clean data, business-friendly names, and the right indexing scope. Get dataset indexing and AI Assistant best practices in Oracle Fusion AI Data Platform at the resources linked below.
In this demo, you learn how to prepare a sales dataset in Oracle Fusion AI Data Platform for stronger natural language results and AI-assisted analysis. The walkthrough starts by uploading a dataset, then improving column names so they are clear and business-friendly. You see how to make quick formatting updates, and how to use the AI Assistant to generate column name recommendations that expand abbreviations while keeping names concise.
Next, you review dataset profiling details to confirm column data types and look for issues that can reduce natural language accuracy, such as ambiguous names or mismatched types. You also review data quality indicators, including missing values and outliers, and address high rates of not specified values. The tutorial shows how to standardize values, such as using a case expression to fill blanks in a state column, so analysis stays consistent.
Finally, you enable dataset indexing for the AI Assistant and home page search. You scope indexing to only the columns users need, deselecting fields such as order IDs or latitude and longitude. You then enrich indexing by adding practical synonyms, save the settings, and run indexing so users can ask more accurate questions and get more relevant insights from natural language features.
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